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jamiubadmusng/README.md

Jamiu Olamilekan Badmus

Applied Trade Economist • Data Scientist • Research Analyst

About Me

My name is Jamiu Olamilekan Badmus. I am currently a PhD Economics Student at the University of Birmingham, working on an ESRC DTP-funded project titled "Trade Policy, Sustainable Value Chains, and Reshoring: National and Regional Perspectives from the UK" under the joint supervision of Professor Sami Bensassi (University of Birmingham) and Dr. Agelos Delis (Aston University).

Before my PhD, I worked within the Economic and Political Interactions Cluster at the United Nations University Institute on Comparative Regional Integration Studies (UNU-CRIS). I hold an Erasmus Mundus Master's in Economics of Globalisation and European Integration (EGEI) studying across the University of Lille (France), Ghent University (Belgium), and the University of Bari Aldo Moro (Italy). I also hold an MSc (Distinction) and a BSc (first-class honours) in Economics from Tai Solarin University of Education, Nigeria.

You can find my CV here.

🎓 Background

  • PhD in Economics at the University of Birmingham, United Kingdom — fully funded by the ESRC DTP Strategic Joint Studentship, 2026-2030
  • Erasmus Mundus Master's in Economics of Globalization and European Integration (EGEI) — fully funded by the European Commission, 2023-2025
  • M.Sc. & B.Sc. Economics (Distinction & First Class) — Tai Solarin University of Education, Nigeria

🔬 Economics Research

Focus Areas: International Trade • Environmental Economics • Industrial Organization

My research interests connect international trade, environmental economics, and industrial organisation to inform the design of sustainability-focused trade policies. My current research examines how carbon border adjustments reshape international trade and production. I trace three channels: how border carbon costs propagate through supply chains (production networks), how multinationals respond through location, abatement, and investment decisions (firm behaviour), and how reduced import competition affects domestic market power and green innovation (market structure).

Repositories: Replication packages (usually in R) • Code for published & working papers

🤖 Data Science Projects (by industry)

🛠️ Tech Stack

Python R Stata Scikit-learn Pandas XGBoost GitHub

Bridging economic theory with data-driven insights

Pinned Loading

  1. opensource-success-predictor opensource-success-predictor Public

    🔮 Machine learning model predicting GitHub repository success using early activity signals (first 30 days). Achieves 91.3% ROC-AUC on 34K+ repos from GH Archive data.

    Jupyter Notebook 2

  2. customer-churn-prediction customer-churn-prediction Public

    🛒 Machine Learning model to predict customer churn in e-commerce using RFM analysis and LightGBM. Achieved 77% ROC-AUC with 75% recall. Features SHAP interpretability, 24 engineered features from 5…

    Python 1

  3. sdid_gravity_monte_carlo sdid_gravity_monte_carlo Public

    Staggered DID in Structural Gravity Monte Carlo Analysis

    TeX 2

  4. ex-ante-afcfta-replication ex-ante-afcfta-replication Public

    Replication package for Ex-Ante Economic Impacts of the AfCFTA

    R 1

  5. GEPPML-R GEPPML-R Public

    R implementation of General Equilibrium Analysis with PPML by Anderson, Larch, & Yotov, 2018.

    R 1

  6. credit-risk-assessment credit-risk-assessment Public

    Machine learning model to predict loan defaults using the German Credit dataset. Features cost-sensitive classification, SHAP interpretability, and risk segmentation with 80.43% ROC-AUC. Built with…

    Jupyter Notebook 1